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Statistical Inference and Simulation for Spatial Point Processes (Chapman & Hall/CRC Monographs on Statistics and Applied Probability) - Hardcover
Synopsis
Spatial point processes play a fundamental role in spatial statistics and today they are an active area of research with many new applications. Although other published works address different aspects of spatial point processes, most of the classical literature deals only with nonparametric methods, and a thorough treatment of the theory and applications of simulation-based inference is difficult to find. Written by researchers at the top of the field, this book collects and unifies recent theoretical advances and examples of applications. The authors examine Markov chain Monte Carlo algorithms and explore one of the most important recent developments in MCMC: perfect simulation procedures.
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About the Author
Jesper Moller
"About this title" may belong to another edition of this title.
- PublisherChapman and Hall/CRC
- Publication date2003
- ISBN 10 1584882654
- ISBN 13 9781584882657
- BindingHardcover
- LanguageEnglish
- Edition number1
- Number of pages320
- EditorKeiding Niels, Louis Thomas A., Tong Howell, Reid N., Isham Valerie, Tibshirani R.J.
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STATISTICAL INFERENCE AND SIMULATION FOR SPATIAL POINT PROCESSES (MONOGRAPHS ON STATISTICS AND APPLIED PROBABILITY ; 100)
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Chapman & Hall/CRC, Boca Raton, 2004
ISBN 10: 1584882654
ISBN 13: 9781584882657
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Statistical Inference and Simulation for Spatial Point Processes
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Statistical Inference and Simulation for Spatial Point Processes (Chapman & Hall/CRC Monographs on Statistics and Applied Probability)
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Statistical Inference and Simulation for Spatial Point Processes (Chapman & Hall/CRC Monographs on Statistics & Applied Probability)
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Chapman and Hall/CRC 2003-09-25, 2003
ISBN 10: 1584882654
ISBN 13: 9781584882657
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Statistical Inference and Simulation for Spatial Point Processes
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